This algorithm is an example of data-based cyclical training, which corresponds to setting \(f_c = 1\)  in Equation REF . We argue that this self-paced learning algorithm would outperform training on all the training data for deep networks based on the same logic in this earlier work [1]}. In addition, Kumar, et al. provides evidence that a data-based cyclical training approach likely would be at least comparable to training on a constant training on all the training data.
